Kirita-Rose Escott

Kirita-Rose Escott

Assistant Lecturer, PhD Candidate

Victoria University of Wellington

Kirita-Rose Escott (Ngāti Kahungunu, Ngāti Hāmoa) focuses on the use of evolutionary computation and machine learning for dynamic workflow scheduling in cloud computing with a particular focus on the use of genetic programming for scheduling heuristics. She also maintains an interest in other areas of AI, including deep, transfer, and multiagent reinforcement learning.

Interests
  • Genetic Programming
  • Workflow Scheduling
Education
  • BE Software Engineering (First Class Hons), 2018

    Victoria University of Wellington, New Zealand